mosche opened a new issue, #25737: URL: https://github.com/apache/beam/issues/25737
### What needs to happen? Depending on the API Spark uses different defaults as storage level: - RDD API: `MEMORY_ONLY` - Dataset API: `MEMORY_AND_DISK` Currently, the default storage level is set to `MEMORY_ONLY` for all runners. However, the default storage level of the Dataset runner should match Sparks default `MEMORY_AND_DISK`. ### Issue Priority Priority: 3 (nice-to-have improvement) ### Issue Components - [ ] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [X] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
